Proxy smart contracts for zero trust architecture implementation in Decentralised Oracle Networks based applications

TL;DR: This study examines the feasibility of blockchain-based electronic voting systems in Morocco, employing DPLT and Solana blockchain, and finds that blockchain technology effectively mitigates electoral fraud and manipulation when implemented with precision, enhancing electoral transparency and integrity.

Abstract: This article focuses on zero-trust foundation models (ZTFMs), a novel paradigm that embeds zero-trust security principles into the lifecycle of foundation models (FMs) for Internet of Things (IoT) systems. By integrating core tenets, such as least privilege access, continuous verification, data confidentiality, and behavioral analytics into the design, training, and deployment of FMs, ZTFMs can enable secure, privacy-preserving artificial intelligence (AI) across distributed, heterogeneous, and potentially adversarial IoT environments. We present the first structured synthesis of ZTFMs, identifying their potential to transform conventional trust-based IoT architectures into resilient, self-defending ecosystems. Moreover, we propose a comprehensive technical framework, incorporating federated learning (FL), blockchain-based identity management, micro-segmentation, and trusted execution environments (TEEs) to support decentralized, verifiable intelligence at the network edge. In addition, we investigate emerging security threats unique to ZTFM-enabled systems and evaluate countermeasures, such as anomaly detection, adversarial training, and secure aggregation. Through this analysis, we highlight key open research challenges in terms of scalability, secure orchestration, interpretable threat attribution, and dynamic trust calibration. This survey lays a foundational roadmap for secure, intelligent, and trustworthy IoT infrastructures powered by FMs.

TL;DR: This study proposes a deep learning-based intrusion detection system for electric vehicle manufacturing, integrating with a proxy smart contract-based deployment framework for secure supply chain data storage in a blockchain, enhancing efficiency and accessibility.

TL;DR: In this article, the authors explore the mechanics of protecting computer-stored information from unauthorized use or modification, focusing on those architectural structures-whether hardware or software-that are necessary to support information protection.

TL;DR: This paper investigates the security of running smart contracts based on Ethereum in an open distributed network like those of cryptocurrencies, and proposes ways to enhance the operational semantics of Ethereum to make contracts less vulnerable.

TL;DR: ELASTICO is the first candidate for a secure sharding protocol with presence of byzantine adversaries, and scalability experiments on Amazon EC2 with up to $1, 600$ nodes confirm ELASTICO's theoretical scaling properties.

TL;DR: Oyente as discussed by the authors is a symbolic execution tool to find potential security bugs in the execution of smart contracts based on Ethereum in an open distributed network like those of Bitcoin and Ethereum.